Self-driving cars and traditional cars and increasingly sharing roads today. In such a hybrid world, we have to envision new modes of human-machine communication that can connect people and automobiles in a universal manner.
intentional gestures made by drivers as well as subconscious inferences made by pedestrians and observers constitute an unspoken yet critical component of interactions at urban intersections.
Enabling vehicles to communicate directly with other drivers and pedestrians outside through gestures allows to establish new feedback loops which can help maintain sustained awareness of how driverless vehicles navigate human environments.
The proposed concept allowed pedestrians to predict with certainty, the the actions self-driving vehicles were about to make and thereby relieve passengers of communication tasks which they would otherwise have no control of.
TOOLS AND METHODOLOGIES
User Surveys / Field Research / Contextual Inquiry Journey Mapping / Rapid Prototyping / CAD Modeling / User Testing /
As driverless vehicles are becoming a reality we are in a phase where they will share the roads with cars that have human beings at the wheel. This phase introduces a new set of challenges in terms of signaling and communication.focussed on the communication channels involving the direct interaction and indirect inferences that drivers and pedestrians make while navigating urban intersections.
SCOPING THE AREAS OF WORK
INCHING AHEAD AT INTERSECTIONS
SLOWING DOWN TO ALLOW LANE CHANGES
BEING AWARE OF WHERE OTHER DRIVERS ARE LOOKING
SENSING THE PRESENCE OF ANOTHER CAR BASED ON SOUND
DETECTING THE REACTION TO THE HONKING OF A HORN
SYNTHESISING THE RESEARCH DATA
Taking all these factors into account, physical forms were envisioned that helped communicate signals with clarity and ease.
The final version of the model is presently being developed in a Virtual Reality environment using Autodesk VRED in order to facilitate further user testing